Skill: Process Warranty Claim
Domain
consumer_products
Description
Processes product warranty claims validating coverage, assessing claim validity, and determining resolution including repair, replacement, or refund.
Tags
warranty, claims, customer-service, products, returns, support
Use Cases
- •Warranty coverage verification
- •Claim validity assessment
- •Resolution determination
- •Fraud detection
Proprietary Business Rules
Rule 1: Coverage Verification
Validation of warranty period and coverage terms.
Rule 2: Defect Classification
Categorization of reported issues by defect type.
Rule 3: Resolution Matrix
Determination of appropriate resolution based on defect and coverage.
Rule 4: Fraud Pattern Detection
Identification of suspicious claim patterns.
Input Parameters
- •
claim_id(string): Claim identifier - •
product_info(dict): Product details - •
purchase_info(dict): Purchase information - •
defect_description(dict): Reported issue - •
customer_history(dict): Customer claim history - •
diagnostic_data(dict): Technical diagnostics if available
Output
- •
claim_status(string): Approved/Denied/Pending - •
coverage_verification(dict): Coverage analysis - •
resolution(dict): Recommended resolution - •
cost_estimate(float): Estimated claim cost - •
fraud_indicators(list): Any fraud flags
Implementation
The processing logic is implemented in warranty_processor.py and references data from CSV files:
- •
coverage_terms.csv- Reference data - •
defect_categories.csv- Reference data - •
resolution_matrix.csv- Reference data - •
fraud_rules.csv- Reference data - •
cost_tables.csv- Reference data - •
sla_targets.csv- Reference data - •
parameters.csv- Reference data.
Usage Example
python
from warranty_processor import process_warranty_claim
result = process_warranty_claim(
claim_id="WC-2026-001",
product_info={"sku": "PROD-001", "category": "electronics", "purchase_date": "2025-06-15"},
purchase_info={"receipt": True, "channel": "retail", "price": 499.99},
defect_description={"type": "malfunction", "symptom": "won't power on"},
customer_history={"prior_claims": 0, "customer_since": "2020-01-01"},
diagnostic_data={"error_code": "E01", "battery_cycles": 150}
)
print(f"Claim Status: {result['claim_status']}")
Test Execution
python
from warranty_processor import process_warranty_claim
result = process_warranty_claim(
claim_id=input_data.get('claim_id'),
product_info=input_data.get('product_info', {}),
purchase_info=input_data.get('purchase_info', {}),
defect_description=input_data.get('defect_description', {}),
customer_history=input_data.get('customer_history', {}),
diagnostic_data=input_data.get('diagnostic_data', {})
)